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» A Meta-CSP Model for Optimal Planning
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ICRA
2008
IEEE
173views Robotics» more  ICRA 2008»
14 years 3 months ago
Bayesian reinforcement learning in continuous POMDPs with application to robot navigation
— We consider the problem of optimal control in continuous and partially observable environments when the parameters of the model are not known exactly. Partially Observable Mark...
Stéphane Ross, Brahim Chaib-draa, Joelle Pi...
IWCMC
2006
ACM
14 years 3 months ago
A heuristics based approach for cellular mobile network planning
Designing and planning of the switching, signaling and support network is a fairly complex process in cellular mobile network. In this paper, the problem of assigning cells to swi...
Marwan H. Abu-Amara, Sadiq M. Sait, Abdul Subhan
CP
2005
Springer
14 years 2 months ago
Planning and Scheduling to Minimize Tardiness
We combine mixed integer linear programming (MILP) and constraint programming (CP) to minimize tardiness in planning and scheduling. Tasks are allocated to facilities using MILP an...
John N. Hooker
CONSTRAINTS
2006
99views more  CONSTRAINTS 2006»
13 years 9 months ago
An Integrated Method for Planning and Scheduling to Minimize Tardiness
We combine mixed integer linear programming (MILP) and constraint programming (CP) to minimize tardiness in planning and scheduling. Tasks are allocated to facilities using MILP an...
John N. Hooker
ICRA
2010
IEEE
126views Robotics» more  ICRA 2010»
13 years 7 months ago
Simulation-based LQR-trees with input and state constraints
— We present an algorithm that probabilistically covers a bounded region of the state space of a nonlinear system with a sparse tree of feedback stabilized trajectories leading t...
Philipp Reist, Russ Tedrake